Detecting Scenes of Attention from Personal View Records -Motion Estimation Improvements and Cooperative Use of a Surveillance camera

a user may n&d considerable tim;for finding the i'nformation he/she requires. This disadvantage may spoil the merit of video records. For this purpose, we previously reported that scenes of attention can be good indices for summarizing those videos[3]. The view from an HMC contains the central portion of the sight, and the camera's ego-motion represents the user's head motion. By estimating egomotions and by separating object motions, we can detect typical behaviors of the user's for paying attention to something as shown in Fig. 1. Figure 2 shows a browser that presents those scenes, and this browser is much more comprehensible than a simple arrangement of images taken at regular intervals (Fig. 3). We also reported that video summaries composed of those scenes showed good match to the summaries that were manually made by selecting important scenes from the videos[4]. This paper introduces two new approaches for the performance improvement and for the extension of the potential applications. @=& , m w q \a @)